Classification of emotions in programming from face and log features using representative intervals

This paper discusses a machine learning approach for classifying student emotions while doing programming exercises. Detection of academic emotions in programming from face features has previously been shown to be a difficult task because people don't tend to display as much expression as compa...

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Bibliographic Details
Main Authors: Tiam-Lee, Thomas James Z., Sumi, Kaoru
Format: text
Published: Animo Repository 2019
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/13069
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Institution: De La Salle University